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Masterand (all genders) - Design of Explanation Interfaces in AI in Healthcare

Job Description - Masterand (all genders) - Design of Explanation Interfaces in AI in Healthcare

The integration of Artificial Intelligence (AI) based decision support systems (DSS) into clinical settings holds considerable promise for aiding complex decision-making and enhancing patient care. Despite their potential, the practical implementation of such AI systems has been limited due to clinicians’ caution, often attributed to a lack of acceptance and trust. 

Utilizing Explainable AI (XAI) methods can be a great tool to open the “black-box” and provide human-understandable explanations. Finding appropriate visualizations of explanations will be pivotal to enhance the understandability and thus fostering trust, transparency and human-oversight in AI-based DSS.
  • You will research various current concepts for visualizing explanations of AI predictions (XUI - Explanation User Interface).
  • You will bring together the different requirements of clinical staff, end users and software developers in innovative functional concepts.
  • You will evaluate established design concepts in literature and create new design concepts to visualize explanations for AI predictions.
  • You will conduct user testing on clinical staff and work with AI researchers to establish human-centered AI in hospitals.
  • You like to explore new creative, technological and social topics, enjoy technical issues and actively shape the processes in your environment.
  • Depending on your interests and abilities, you choose the direction of your work.
  • You are studying communication design, interactive media or a similar course.
  • You are interested in the fields of information design, data visualization and usability design.
  • You don't shy away from technical discussions about data science and AI.
  • You work independently and in a self-organized manner, and you proactively contribute to the team.
Daniela
+49 821 885882-0
[email protected] 
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